| Literature DB >> 35734084 |
Scott Dryden-Peterson, Andy Kim, Arthur Y Kim, Ellen C Caniglia, Inga Lennes, Rajesh Patel, Lindsay Gainer, Lisa Dutton, Elizabeth Donahue, Rajesh T Gandhi, Lindsey R Baden, Ann E Woolley.
Abstract
Background: In the EPIC-HR trial, nirmatrelvir plus ritonavir led to an 88% reduction in hospitalization or death among unvaccinated outpatients with early COVID-19. Clinical impact of nirmatrelvir plus ritonavir among vaccinated populations is uncertain. Objective: To assess whether nirmatrelvir plus ritonavir reduces risk of hospitalization among outpatients with early COVID-19 in the setting of prevalent SARS-CoV-2 immunity and immune evasive SARS-CoV-2 lineages. Design: Population-based cohort study analyzed to emulate a clinical trial utilizing two-stage, inverse-probability weighted models to account for anticipated bias in testing and treatment. Setting: A large healthcare system providing care for 1.5 million patients in Massachusetts and New Hampshire during Omicron wave (January 1 to May 15, 2022) with staged access and capacity to prescribe nirmatrelvir plus ritonavir. Patients: 30,322 non-hospitalized adults (87.2% vaccinated) aged 50 and older with COVID-19 and without contraindications to nirmatrelvir plus ritonavir. Measurement: Primary outcome was hospitalization within 14 days of COVID-19 diagnosis.Entities:
Year: 2022 PMID: 35734084 PMCID: PMC9216724 DOI: 10.1101/2022.06.14.22276393
Source DB: PubMed Journal: medRxiv
Figure 1.Study cohort.
Figure 2.SARS-CoV-2 infection, treatment with nirmatrelvir plus ritonavir, and hospitalization among study patients. Infections and treatment initiation included from January 1 to May 15, 2022. Hospitalizations included through May 29, 2022.
Baseline characteristics of COVID-19 cases aged 50 and older (Jan 1 to May 15, 2022)
| Characteristic | Prescribed nirmatrelvir plus ritonavir | Not prescribed nirmatrelvir plus ritonavir | p |
|---|---|---|---|
| No. | 6036 | 24286 | |
| Age (%) | <0.001 | ||
| 50 to 64 | 2745 (45.5) | 15084 (62.1) | |
| 65 to 79 | 2693 (44.6) | 7391 (30.4) | |
| 80 and older | 598 (9.9) | 1811 (7.5) | |
| Male sex (%) | 2505 (41.5) | 9851 (40.6) | 0.189 |
| Race and ethnicity (%) | <0.001 | ||
| Asian | 171 (2.8) | 665 (2.7) | |
| Black | 103 (1.7) | 1124 (4.6) | |
| Hispanic or Latinx | 177 (2.9) | 1738 (7.2) | |
| Other or unavailable | 206 (3.4) | 1416 (5.8) | |
| White | 5379 (89.1) | 19343 (79.6) | |
| High zip code SES vulnerability (%) | 422 (7.0) | 3020 (12.4) | <0.001 |
| Vaccination status (%) | <0.001 | ||
| Vaccinated and boosted | 4623 (76.6) | 11776 (48.5) | |
| Vaccinated | 1048 (17.4) | 9002 (37.1) | |
| Partially vaccinated | 96 (1.6) | 703 (2.9) | |
| Unvaccinated | 269 (4.5) | 2805 (11.5) | |
| Last vaccine dose more than 20 weeks prior (%) | 4821 (79.9) | 14990 (61.7) | <0.001 |
| Comorbidity score (%) | <0.001 | ||
| MASS 3 or less | 2821 (46.7) | 14940 (61.5) | |
| MASS 4 and 5 | 1089 (18.0) | 3611 (14.9) | |
| MASS 6 or greater | 2126 (35.2) | 5735 (23.6) | |
| Body mass index (BMI) (%) | <0.001 | ||
| BMI less than 25 or unavailable | 1851 (30.7) | 8880 (36.6) | |
| BMI 25 to 30 | 2154 (35.7) | 7643 (31.5) | |
| BMI 30 to 35 | 1250 (20.7) | 4753 (19.6) | |
| BMI greater than 35 | 781 (12.9) | 3010 (12.4) | |
| Immunocompromise (%) | 2836 (47.0) | 8749 (36.0) | <0.001 |
| Diabetes (%) | 1254 (20.8) | 4218 (17.4) | <0.001 |
| Heart disease or stroke (%) | 1020 (16.9) | 3054 (12.6) | <0.001 |
| Pulmonary disease (%) | 564 (9.3) | 1719 (7.1) | <0.001 |
| Bipolar, schizophrenia, and other disorders (%) | 128 (2.1) | 727 (3.0) | <0.001 |
| Depression and anxiety (%) | 1466 (24.3) | 4667 (19.2) | <0.001 |
| Hematologic malignancy (%) | 289 (4.8) | 694 (2.9) | <0.001 |
| Solid tumor malignancy (%) | 2224 (36.8) | 6538 (26.9) | <0.001 |
| Rheumatologic or inflammatory bowel disease (%) | 851 (14.1) | 2318 (9.5) | <0.001 |
Numbers are No. (%) unless otherwise noted. Immunocompromise includes patients with active malignancy and patients on immunosuppressive medications
Figure 3.Subgroup analysis of the risk ratio of hospitalization comparing patients prescribed and not prescribed nirmatrelvir plus ritonavir. Estimate and confidence interval calculated from an inverse-probability weighted model performed within in strata. Effect modification p-value calculated from nested models.